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10.2196/20186 http://scihub22266oqcxt.onion/10.2196/20186 32701459!7419155!32701459     free     free     free Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 253.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 253.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 253.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 253.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 253.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 253.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 253.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 286.79999999999995 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 286.79999999999995 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 286.79999999999995 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Med+Internet+Res 2020 ; 22 (8): e20186 Nephropedia Template TP {{tp|p=32701459|t=2020. What Media Helps, What Media Hurts: A Mixed Methods Survey Study of Coping with COVID-19 Using the Media Repertoire Framework and the Appraisal Theory of Stress |pdf=|usr=}}{{32701459}} gab.com Text What Media Helps, What Media Hurts: A Mixed Methods Survey Study of Coping with COVID-19 Using the Media Repertoire Framework and the Appraisal Theory of Stress JO: J Med Internet Res http://www.kidney.de/pget.php?&tw=1&pmid=32701459 #FOAvip BACKGROUND: Social and physical distancing in response to the coronavirus disease (COVID-19) pandemic has made screen-mediated information and communication technologies (media) indispensable. Whether an increase in screen use is a source of or a relief for stress remains to be seen. OBJECTIVE: In the immediate aftermath of the COVID-19 lockdowns, we investigated the relation between subjective stress and changes in the pattern of media use. Based on Lazarus's transactional model of appraisal and coping, and building on an earlier similar survey, we hypothesize that individual differences in the appraisal of media predict variations in approach or avoidance of media for coping with COVID-19 stress. METHODS: Between March 20 and April 20, 2020, a brief snowball survey entitled: "What media helps, what media hurts: coping with COVID19 through screens" was distributed via Concordia University's mailing lists and social media (PERFORM Centre, EngAGE Centre, and Media Health Lab). Using a media repertoire method, we asked questions about preferences, changes in use, and personal appraisal of media experiences (approach, avoid, and ignore) as a result of the COVID-19 pandemic and investigated interindividual differences in media use by factors such as subjective stress, age, gender, and self-reported mental health. RESULTS: More than 90% of the survey respondents were in Canada and the east coast of the United States. From 685 completed responses, 169 respondents were "very stressed" and 452 were "slightly worried" about the pandemic. COVID-19 stress led to increased use of Facebook (chi(2)(3)=11.76, P=.008), television (chi(2)(3)=12.40, P=.006), YouTube (chi(2)(3)=8.577, P=.04), and streaming services such as Netflix (chi(2)(3)=10.71, P=.01). Respondents who considered their mental health "not good" were twice as likely to prefer streaming services as a coping tool for self-isolation. Women and nonbinary respondents were twice as likely than men to pick social media for coping. Individuals younger than 35 years were 3 times more likely to pick computer games, and individuals older than 55 years were more likely to pick network television or print media. Gender affected the appraisal of media (less in men than others) in terms of avoid (F(1,637)=5.84, P=.02) and approach scores (F(1,637)=14.31, P<.001). Subjective mental health affected the ignore score (less in those who said "good" than others; F(1,637)=13.88, P<.001). The appraisal score and use increase explained variations in worrying about physical and mental health stress due to increased screen time. A qualitative analysis of open-ended questions revealed that media (especially social networks) were important for coping if they provided support and connection through the dissemination of factual and positive information while avoiding the overflow of sensational and false news. CONCLUSIONS: The relationship between appraisal of media's positive and negative facets vary with demographic differences in mental health resiliency. The media repertoire approach is an important tool in studies that focus on assessing the benefits and harms of screen overuse in different populations, especially in the context of the COVID-19 pandemic. Twit Text FOAVip What Media Helps, What Media Hurts: A Mixed Methods Survey Study of Coping with COVID-19 Using the Media Repertoire Framework and the Appraisal Theory of Stress ????J Med Internet Res http://www.kidney.de/pget.php?&tw=1&pmid=32701459 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32701459 #FOAvip English Wikipedia <ref>{{Cite pmid|32701459}}</ref> What Media Helps, What Media Hurts: A Mixed Methods Survey Study of Coping with COVID-19 Using the Media Repertoire Framework and the Appraisal Theory of Stress #MMPMID32701459 Pahayahay A; Khalili-Mahani N J Med Internet Res 2020[Aug]; 22 (8): e20186 PMID32701459show ga BACKGROUND: Social and physical distancing in response to the coronavirus disease (COVID-19) pandemic has made screen-mediated information and communication technologies (media) indispensable. Whether an increase in screen use is a source of or a relief for stress remains to be seen. OBJECTIVE: In the immediate aftermath of the COVID-19 lockdowns, we investigated the relation between subjective stress and changes in the pattern of media use. Based on Lazarus's transactional model of appraisal and coping, and building on an earlier similar survey, we hypothesize that individual differences in the appraisal of media predict variations in approach or avoidance of media for coping with COVID-19 stress. METHODS: Between March 20 and April 20, 2020, a brief snowball survey entitled: "What media helps, what media hurts: coping with COVID19 through screens" was distributed via Concordia University's mailing lists and social media (PERFORM Centre, EngAGE Centre, and Media Health Lab). Using a media repertoire method, we asked questions about preferences, changes in use, and personal appraisal of media experiences (approach, avoid, and ignore) as a result of the COVID-19 pandemic and investigated interindividual differences in media use by factors such as subjective stress, age, gender, and self-reported mental health. RESULTS: More than 90% of the survey respondents were in Canada and the east coast of the United States. From 685 completed responses, 169 respondents were "very stressed" and 452 were "slightly worried" about the pandemic. COVID-19 stress led to increased use of Facebook (chi(2)(3)=11.76, P=.008), television (chi(2)(3)=12.40, P=.006), YouTube (chi(2)(3)=8.577, P=.04), and streaming services such as Netflix (chi(2)(3)=10.71, P=.01). Respondents who considered their mental health "not good" were twice as likely to prefer streaming services as a coping tool for self-isolation. Women and nonbinary respondents were twice as likely than men to pick social media for coping. Individuals younger than 35 years were 3 times more likely to pick computer games, and individuals older than 55 years were more likely to pick network television or print media. Gender affected the appraisal of media (less in men than others) in terms of avoid (F(1,637)=5.84, P=.02) and approach scores (F(1,637)=14.31, P<.001). Subjective mental health affected the ignore score (less in those who said "good" than others; F(1,637)=13.88, P<.001). The appraisal score and use increase explained variations in worrying about physical and mental health stress due to increased screen time. A qualitative analysis of open-ended questions revealed that media (especially social networks) were important for coping if they provided support and connection through the dissemination of factual and positive information while avoiding the overflow of sensational and false news. CONCLUSIONS: The relationship between appraisal of media's positive and negative facets vary with demographic differences in mental health resiliency. The media repertoire approach is an important tool in studies that focus on assessing the benefits and harms of screen overuse in different populations, especially in the context of the COVID-19 pandemic. |*Adaptation, Psychological[MESH] |*Models, Psychological[MESH] |*Surveys and Questionnaires[MESH] |Adult[MESH] |Betacoronavirus[MESH] |COVID-19[MESH] |Coronavirus Infections/*epidemiology[MESH] |Exercise/psychology[MESH] |Female[MESH] |Geographic Mapping[MESH] |Humans[MESH] |Male[MESH] |Mass Media/*statistics & numerical data[MESH] |Mental Health/*statistics & numerical data[MESH] |Middle Aged[MESH] |Pandemics[MESH] |Pneumonia, Viral/*epidemiology[MESH] |SARS-CoV-2[MESH] |Screen Time[MESH] |Social Media/*statistics & numerical data[MESH] |Social Networking[MESH] |Television/statistics & numerical data[MESH] |Video Games/statistics & numerical data[MESH]What Media Helps, What Media Hurts: A Mixed Methods Survey Study of Co(epmc).pdf DeepDyve Pubget Overpricing